ML: Taking AWS machine learning for a spin
A hands-on evaluation of Amazon Machine Learning using Kaggle’s MNIST digit classifier, covering model training, batch predictions, accuracy, and service limitations.
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A hands-on evaluation of Amazon Machine Learning using Kaggle’s MNIST digit classifier, covering model training, batch predictions, accuracy, and service limitations.
Read the postUsing AWS Kinesis with PHP for real-time processing, including architecture choices and performance issues involving HTTP requests, SSL verification, batching, and consumers.
Read the postCompares Hive and Amazon Redshift, explaining their data models, query workloads, and when unstructured files or relational data suit each platform.
Read the postHow to configure Symfony to trust AWS ELB reverse proxies and headers so generated HTTPS URLs do not incorrectly include port 80.
Read the postA guide to configuring s3cmd, managing Amazon S3 buckets and objects, automating MySQL backups, and verifying backup retention and integrity.
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